Alex Papanicolaou completed his Ph.D. from the Institute for Computational and Mathematical Engineering at Stanford University in 2013 and obtained a B.Sc. in Applied Mathematics and B.A. in Economics from UCLA in 2007. At Stanford, Alex developed statistical testing methods for volatility models under Kay Giesecke, Professor in Management Science and Engineering. From 2013 to 2016, Alex was a Senior Data Scientist at Integral Development Corporation working on applied statistical and machine learning problems for electronic trading in OTC FX. At CDAR he worked on high-dimensional statistics for estimating covariance matrices with specific applications to risk management. Currently he is co-founder and CTO of infima Technologies, a bay area startup in mortgage and credit technology founded by 3 CDAR members.